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Artificial Neural Network Excellence to Facilitate Lean Thinking Adoption in Healthcare Contexts

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Lean Thinking for Healthcare

Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

Abstract

Over the years, healthcare organisations have improved their processes, services, and outcomes significantly. However, with the increasing importance placed on value making, healthcare organisations too often are struggling to demonstrate best performance and/or appropriate and sustained quality of care. Hence, in this chapter we explore the benefits of using artificial neural network (ANN) techniques to identify lost value for the healthcare organisations and to facilitate Lean thinking adoption.

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Author information

Authors and Affiliations

  1. School of Business IT and Logistics, RMIT University, Research Institute, Epworth HealthCare, 2476, Melbourne, VIC, 3001, Australia

    Fatemeh Hoda Moghimi

  2. Epworth HealthCare & Department of BITL & HIRi, RMIT University, 2476, Melbourne, VIC, 3001, Australia

    Nilmini Wickramasinghe Ph.D., M.B.A.

Authors
  1. Fatemeh Hoda Moghimi
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  2. Nilmini Wickramasinghe Ph.D., M.B.A.
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Corresponding author

Correspondence to Nilmini Wickramasinghe Ph.D., M.B.A. .

Editor information

Editors and Affiliations

  1. RMIT University, School of Business Information Technolog, Melbourne VIC, Australia

    Nilmini Wickramasinghe

  2. University of Southern Queensland, Toowoomba, Queensland, Australia

    Latif Al-Hakim

  3. Department of Urology, Northwestern University, Chicago, Illinois, USA

    Chris Gonzalez

  4. DeGroote School Business, McMaster University, Hamilton, Ontario, Canada

    Joseph Tan

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Moghimi, F.H., Wickramasinghe, N. (2014). Artificial Neural Network Excellence to Facilitate Lean Thinking Adoption in Healthcare Contexts. In: Wickramasinghe, N., Al-Hakim, L., Gonzalez, C., Tan, J. (eds) Lean Thinking for Healthcare. Healthcare Delivery in the Information Age. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8036-5_2

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  • DOI: https://doi.org/10.1007/978-1-4614-8036-5_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8035-8

  • Online ISBN: 978-1-4614-8036-5

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